Dry Bean Dataset

该数据集旨在对不同的豆类品种进行分类。在数据处理阶段，为了确保各特征贡献均衡，该数据集已经过Z标准化预处理。该数据集中，每个类别大约包含1000个实例，任务类型为多类别分类。

This dataset is intended for the classification of various bean varieties. During the data preprocessing stage, the dataset has been subjected to Z-score standardization to ensure balanced contributions of all features. Each category in this dataset includes approximately 1,000 instances, and the task belongs to multi-class classification.

搜集汇总

背景与挑战

背景概述

Dry Bean Dataset是一个用于分类任务的多变量数据集，包含13,611个干豆样本，涵盖7种注册类型，每个样本具有16个特征（12个尺寸和4个形状），通过计算机视觉系统从高分辨率图像中提取，适用于生物学和机器学习研究。